Triple

T10930140
Position Surface form Disambiguated ID Type / Status
Subject Voykovskaya E258180 entity
Predicate hasTransferTo P17241 FINISHED
Object Baltiyskaya
Baltiyskaya is a planned Moscow Metro station on the Bolshaya Koltsevaya line intended to serve the northwestern part of the city.
 E893387 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Baltiyskaya | Statement: [Voykovskaya, hasTransferTo, Baltiyskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baltiyskaya
Context triple: [Voykovskaya, hasTransferTo, Baltiyskaya]
  • A. Baltiysk
    Baltiysk is a Russian port town in the Kaliningrad Oblast, strategically located on the Baltic Sea and serving as an important naval base.
  • B. Baltica
    Baltica is an ancient Precambrian continental craton that now underlies much of northern and eastern Europe, including parts of Scandinavia and western Russia.
  • C. Labská
    Labská is a mountain village and ski resort area that forms one of the local parts of the Czech town Špindlerův Mlýn in the Krkonoše (Giant) Mountains.
  • D. Oesel
    Oesel is an alternative transliteration of the name Ösel, which is used in various cultural and linguistic contexts, including as a Tibetan given name.
  • E. Pielavesi
    Pielavesi is a rural municipality in Northern Savonia, Finland, best known as the birthplace of long-serving Finnish president Urho Kekkonen.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Baltiyskaya
Triple: [Voykovskaya, hasTransferTo, Baltiyskaya]
Generated description
Baltiyskaya is a planned Moscow Metro station on the Bolshaya Koltsevaya line intended to serve the northwestern part of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baltiyskaya
Target entity description: Baltiyskaya is a planned Moscow Metro station on the Bolshaya Koltsevaya line intended to serve the northwestern part of the city.
  • A. Baltiysk
    Baltiysk is a Russian port town in the Kaliningrad Oblast, strategically located on the Baltic Sea and serving as an important naval base.
  • B. Baltica
    Baltica is an ancient Precambrian continental craton that now underlies much of northern and eastern Europe, including parts of Scandinavia and western Russia.
  • C. Labská
    Labská is a mountain village and ski resort area that forms one of the local parts of the Czech town Špindlerův Mlýn in the Krkonoše (Giant) Mountains.
  • D. Oesel
    Oesel is an alternative transliteration of the name Ösel, which is used in various cultural and linguistic contexts, including as a Tibetan given name.
  • E. Pielavesi
    Pielavesi is a rural municipality in Northern Savonia, Finland, best known as the birthplace of long-serving Finnish president Urho Kekkonen.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709f92088190a15ae3638d3b14fb completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2175711d4819088f93bdf64ba4d3f completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21e54e22881908726f088643edfd2 completed April 17, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69e21f1134d0819082fcc735da61d347 completed April 17, 2026, 11:52 a.m.
Created at: April 8, 2026, 9:22 p.m.